Video Analysis – VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP

Maria Koshkina

Maria Koshkina — Wed, 01 Apr 2026 21:05:28 +0000

I am a Postdoctoral Fellow in the Sports Analytics Research Group, specializing in automatic video understanding for sports. I hold a PhD from the Department of Electrical Engineering and Computer Science, York University and have over 15 years of experience as a professional software developer.

Personal website: https://mkoshkina.github.io/

Research interests

video understanding, multi-object tracking, action recognition

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

Research topics

Sports Analytics
Video Analysis

Kseniia (Ksusha) Buzko

Kseniia Buzko — Mon, 30 Mar 2026 20:33:34 +0000

Kseniia (Ksusha) Buzko is a PhD student in the Systems Design Engineering program. She is supervised by Prof. John Zelek and Prof. Yuhao Chen. Her research interests include video understanding, action recognition, and video generation.

Linkedin: https://www.linkedin.com/in/kseniiabuzko/

Research topics

Computer Vision
Sports Analytics
Video Analysis

Supervisors

John Zelek, Yuhao Chen

Auguste L. W. Koh

Auguste Koh — Tue, 10 Mar 2026 19:22:36 +0000

Auguste earned his BASc degree in Biomedical Engineering at the University of Waterloo in 2021. He is currently pursuing an MASc degree under the supervision of Professor Paul Fieguth. His main research is focused on detecting near misses from video of vehicular and pedestrian traffic; this project is in collaboration with Miovision. In addition, he is a collaborator on the Federated Learning for Robot Picking (FLAIROP) project, in which he works on inferring object relationships from images.

Supervisors

Paul Fieguth

Research interests

Deep learning for video, scene understanding, object detection, object tracking, bin picking, and 3D pose estimation.

Research topics

Computer Vision
Video Analysis

Zahra Gharaee

Ken Nsiempba — Wed, 17 Jul 2024 17:25:14 +0000

As a seasoned senior research scientist, I bring expertise in computer vision, machine learning, and artificial intelligence to the forefront of my work. My research endeavours centre around pioneering subjects, including advanced image processing and video analysis, representation learning, action recognition, autonomous systems and graph convolutional neural networks.

Supervisors

Research interests

Machine learning and artificial intelligence. Computer vision and image processing. Representation learning. Computational cognitive science.

Research topics

BIOSCAN Insect Biodiversity Assessment
Computer Vision
Image Segmentation/Classification
Video Analysis

Howard Nguyen-Huu

Howard Nguyen-Huu — Tue, 16 Jul 2024 21:59:42 +0000

I’m Howie, a Master’s student in Systems Design Engineering. I am co-supervised by Prof. David Clausi and Prof. Yuhao Chen and am part of the Sports Analytics Research Group. Previously, I have interned as a Machine Learning Engineer at Altis Labs, a Robotics Software Engineer at Ocado Intelligent Automation (formerly Kindred AI), and a Robotics Research Assistant at the Multi-Scale Additive Manufacturing Lab.

Email: hnguyenh [at] uwaterloo [dot] ca

GitHub: https://github.com/howird

LinkedIn: https://www.linkedin.com/in/howird/

Website: https://howird.com

Room: EC4 2038A

Supervisors

David Clausi, Yuhao Chen

Research interests

Computer Vision for Pose Estimation & Object Detection, Scene Understanding, Simulated Data Generation, Robotics

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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Vasyl Chomko

Vasyl Chomko — Sat, 30 Dec 2023 21:13:49 +0000

I am Vasyl Chomko, a Master of Applied Science student in Systems Design Engineering at the University of Waterloo.

My fundamental interest lies in the synergy of mathematics and computer science, which was fostered during my undergraduate studies at Taras Shevchenko National University of Kyiv and has been a cornerstone of my academic path. My professional experience as a software developer and DevOps engineer led me to the fascinating field of computer vision and visual image processing. Coupled with my background as a professional athlete, this has naturally led me to focus on sports analytics, applying my technical skills to work on better capturing and processing key elements of athletes’ equipment for further game strategy analysis.

Outside of my academic and professional interests, I am actively exploring various smart devices and developing simple time-saving software applications, while also devoting some time to a personal passion – rowing.

Email: vchomko@uwaterloo.ca
GitHub: github.com/1Basile
LinkedIn: linkedin.com/in/vasia-chomko

Supervisors

Alexander Wong, David Clausi

Research interests

Computer Vision for Sports Analytics, Cross-disciplinary Research, Pose Estimation, Video Analysis, Fake News Detection using NLP

Research topics

Computer Vision
Image Segmentation/Classification
Sports Analytics
Video Analysis

Yuxiang Huang

Yuxiang Huang — Thu, 07 Dec 2023 21:00:08 +0000

Yuxiang Huang is a Master of Applied Science student in Systems Design Engineering, supervised by Prof. John Zelek and associated with the Vision and Image Processing (VIP) Lab. His research focuses on motion segmentation and structure from motion. Prior to this, he completed his Bachelor of Applied Science in Computer Engineering degree with a Minor in Statistics at the University of British Columbia.

LinkedIn: LinkedIn

Supervisors

John Zelek

Research interests

Motion Segmentation, 3D Computer Vision, Structure from Motion, Image Segmentation

Research topics

Computer Vision
Video Analysis

Chun-Cheng (Kris) Feng

Chun-Cheng Feng — Tue, 31 Oct 2023 02:45:59 +0000

Chun-Cheng Feng is currently a Master of Applied Science student at the VIP lab in Systems Design Engineering, under the supervision of Professor John Zelek. His current research focus is on camera calibration and photometric calibration.

Email: c39feng@uwaterloo.ca

LinkedIn: https://www.linkedin.com/in/chun-cheng-feng-038393186

Supervisors

John Zelek

Research interests

Chun-Cheng’s research interests include feature tracking, computer vision and machine learning.

Research topics

Computer Vision
Video Analysis

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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Mehrnaz Fani

Mehrnaz Fani — Fri, 01 Sep 2023 07:43:03 +0000

Mehrnaz Fani was an Industrial Postdoctoral Fellow at Vision and Image Processing Lab (VIP) – Systems Design Eng., University of Waterloo, Oct. 2018 – Sept. 2022. She received her Ph.D. in Electrical Eng. – Telecommunication Systems, from Shiraz University, Iran, in 2018. During her postdoc, she co-led a team of graduated students on the development of cutting-edge deep models for Hockey Video Analytics projects. This included collaboration with Stathletes Inc. on NHL data, and conducting research on homography estimation, players detection, tracking, 2D pose estimation, and action recognition from hockey videos. Mehrnaz, currently, works in industry and is focused on the research and development of advanced computer vision solutions for HD mapping for autonomous driving, from aerial images.

Email: fani.mehrnaz@gmail.com

Linkedin: https://www.linkedin.com/in/mehrnaz-fani/

Github: https://github.com/MehrnazFani

Supervisors

Alexander Wong, David Clausi, John Zelek

Research interests

My research interests are mainly in AI and machin learning, particularly deep learning and computer vision. I am especially interested in working with video and image data and designing novel solutions to address the real-world problems.

Research topics

Computer Vision
Image Segmentation/Classification
Sports Analytics
Video Analysis

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

Amir Nazemi

Amir Nazemi — Thu, 03 Aug 2023 20:43:30 +0000

The longer you look at an object, the more abstract it becomes, and, ironically, the more real.
Lucian Freud

Postdoctoral Fellow Ph.D.

Amir has years of experience in machine learning, computer vision and has been a part of multiple interdisciplinary teams, including a research lab in Korea, a joint research project with Microsoft, and a collaboration with the Faculty of Health at the University of Waterloo. Amir is interested in video analysis and particularly long video object segmentation and continual/lifelong learning.

He is currently a postdoctoral fellow at the Sport Analytic Research Group, which is led by Prof. David Clausi.

He particularly enjoys working with scientists from various fields to develop new skills and face new challenges.

Based on Myers-Briggs Type Indicator (MBTI) he is an INFJ-type type person.

For viewing his full portfolio visit: http://amirnazemi.com

Research interests

Machine learning and artificial intelligence. Computer vision and image processing. Video Object Segmentation. Continual learning.